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quantile regression

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TitleStatusHype
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation—0
Regularization Strategies for Quantile Regression—0
Regularized Quantile Regression with Interactive Fixed Effects—0
Relational Conformal Prediction for Correlated Time Series—0
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression—0
ReModels: Quantile Regression Averaging models—0
Retire: Robust Expectile Regression in High Dimensions—0
Risk and return prediction for pricing portfolios of non-performing consumer credit—0
Risk-averse policies for natural gas futures trading using distributional reinforcement learning—0
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents—0
Robust Bond Risk Premia Predictability Test in the Quantiles—0
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks—0
Safety-Aware Reinforcement Learning for Control via Risk-Sensitive Action-Value Iteration and Quantile Regression—0
Scalable Membership Inference Attacks via Quantile Regression—0
Scalable quantile predictions of peak loads for non-residential customer segments—0
Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series—0
Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression—0
Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance—0
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling—0
Smoothed instrumental variables quantile regression—0
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties—0
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression—0
Improved error rates for sparse (group) learning with Lipschitz loss functions—0
Structure learning via unstructured kernel-based M-regression—0
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